Senior AI Solutions Engineer, OLX Group

• This is a role for someone who genuinely enjoys both sides: the craft of connecting systems and the satisfaction of watching a non-technical team discover what AI can do for them
• Relevant experience across automation engineering, AI enablement, or a combination of both
• Experience working across departments with people of varying technical/non-technical backgrounds
• Strong hands-on experience with n8n or a comparable low-code/no-code integration platform (Make, Zapier)
• Demonstrated proficiency with RESTful APIs and JSON for integrating SaaS applications
• Working knowledge of foundational AI models and APIs (LLMs, generative AI) and practical experience incorporating them into business workflows
• Experience with a variety of different AI models and platforms (e.g. ChatGPT, Claude, Google Gemini, Perplexity, etc)
• Practical experience with prompt engineering: you know how to get reliable, high-quality outputs from AI models
• Ability to write, test, and debug scripts in Python or JavaScript
• Track record of running workshops, training sessions, or hackathons - you can translate complex technology into clear, actionable guidance for non-technical audiences
• High curiosity: you stay on top of a fast-moving AI landscape and are quick to learn and evaluate new tools
• Courageous and proactive: you spot opportunities before anyone asks, propose bold ideas, and drive them forward independently
• Excellent communication skills in English, both written and verbal
• If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!

Desirable

• We are the Enterprise Systems team at OLX, responsible for building automations and driving AI adoption across the organisation
• Over the past six months, we have grown from a pure automation squad into a dedicated AI & Automation team that designs agentic AI solutions, AI-infused workflows, intelligent bots and internal apps powered by large language models
• We run proof-of-concepts and proof-of-values on emerging AI tools, deliver workshops and hackathons and partner with non-tech teams through discovery sessions to find the highest-impact opportunities for AI in their day-to-day work
• We operate by OLX's 4C values: Courage to push into new territory with AI before the playbook exists, Commitment to follow through from prototype to real impact, Collaboration across every department we serve, and a Customer-led mindset that starts with what internal teams actually need
• On top of that, this team has a genuine desire to win. We move fast, set ambitious targets and hold ourselves accountable for results
• We are looking for a Senior AI Solutions Engineer who is equally comfortable building production-grade automations and enabling colleagues across the company to work smarter with AI
• You will split your time between hands-on workflow development and AI evangelism - designing automated processes one day and running a workshop for the Legal or Customer Service team the next
• Automation & Workflow Engineering:
• Design, develop, and deploy automated workflows using n8n and other low-code/no-code tools to improve operational efficiency across IT, HR, Legal, Finance, Customer Service, and other back-office functions
• Build agentic AI solutions and AI-infused automations that go beyond simple task-to-task hand-offs, incorporating LLMs, decision logic, and intelligent routing
• Own automation projects end-to-end: scoping, development, testing, deployment, and ongoing maintenance
• Integrate across OLX's tooling landscape - Atlassian (Jira, Confluence), Slack, Google Workspace, SAP, Coupa, and others - via RESTful APIs and JSON to create seamless cross-system workflows
• Write, test, and debug scripts in Python or JavaScript for complex logic, data manipulation, and custom API error handling
• Maintain and support the n8n automation platform and its surrounding infrastructure
• AI Enablement & Evangelism:
• Run discovery sessions with business and back-office teams to identify tasks and processes that can be improved, accelerated, or reimagined through AI
• Lead workshops, hackathons, and training initiatives that build AI fluency across the organisation, making these tools accessible to non-technical colleagues
• Conduct proof-of-concepts and proof-of-values on new AI tools and SaaS products, translating findings into clear recommendations for adoption or investment
• Create and maintain a library of prompts, playbooks, and ready-to-use AI workflows that teams can pick up and apply immediately
• Provide hands-on consulting to teams running AI-related projects — from prototype to production
• Evaluate emerging AI capabilities and keep the organisation informed on what matters and what doesn't
• Collaboration & Mentoring:
• Mentor junior engineers and promote best practices within the team
• Collaborate with team leadership to shape the roadmap and prioritise high-impact initiatives
• Drive continuous improvement by identifying patterns across departments and sharing reusable solutions